{"id":"W4405790799","doi":"10.22266/ijies2025.0229.85","title":"Automatic Sleep Spindle Detection Using SMOTE and Composite Features with SWT and Adaboost","year":2024,"lang":"en","type":"article","venue":"International journal of intelligent engineering and systems","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; AdaBoost; Artificial intelligence; Pattern recognition (psychology); Sleep (system call); Speech recognition; Machine learning; Support vector machine; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119281,0.0009042459,0.001082894,0.00193065,0.0003560455,0.0005978346,0.0008038036,0.0005892771,0.001095615],"category_scores_gemma":[0.001434202,0.0003111099,0.001203021,0.0009249944,0.0002185213,0.0006827247,0.0007343779,0.0007957959,0.000658813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117922,"about_ca_system_score_gemma":0.0006350938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003415587,"about_ca_topic_score_gemma":0.004262481,"domain_scores_codex":[0.9995551,0.00007040021,0.00003737857,0.0001333329,0.0001326814,0.00007103049],"domain_scores_gemma":[0.9995778,0.0001057766,0.00005763365,0.00003625122,0.0001906146,0.00003185311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007253068,0.0006059972,0.01106935,0.0001653155,0.0002808362,0.0001132709,0.00008106069,0.06881856,0.02558456,0.0009709288,0.007626885,0.8839579],"study_design_scores_gemma":[0.00002484315,0.0001298562,0.004199695,0.00001084004,0.00003411854,0.00005300135,0.00002535729,0.9886832,0.005011627,0.0005933407,0.001221303,0.00001282964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1503979,0.001194108,0.8408148,0.0002573646,0.0003750566,0.00019714,0.0004806331,0.004276542,0.002006474],"genre_scores_gemma":[0.7456862,0.000442716,0.2454138,0.0002095826,0.0002034986,0.0002970591,0.002744822,0.0001981361,0.004804214],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003415587,"threshold_uncertainty_score":0.006791413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131514891435607,"score_gpt":0.271073766114539,"score_spread":0.2579222769709784,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}